This course is divided into three Parts
- Part 1: Getting Started with R for Data Science
- Introduction to Data Science.
- CRISP-DM
- Data Scientist's Tools.
- R Programming Language.
- Part 2: Data Wrangling & Statistics
- Reading Data from different Sources.
- Handling inconsistent,missing Data & Anomolies
- Data Normalization & Transformation
- Dimension Reduction
- Intro to Statistics